CN111738463A - Operation and maintenance method, device, system, electronic equipment and storage medium - Google Patents
Operation and maintenance method, device, system, electronic equipment and storage medium Download PDFInfo
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- CN111738463A CN111738463A CN202010556402.5A CN202010556402A CN111738463A CN 111738463 A CN111738463 A CN 111738463A CN 202010556402 A CN202010556402 A CN 202010556402A CN 111738463 A CN111738463 A CN 111738463A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
Abstract
The embodiment of the application discloses an operation and maintenance method, device and system, electronic equipment and a storage medium. The method comprises the following steps: acquiring operation data of target equipment acquired by a data acquisition device; calculating an operation characteristic value of the target equipment according to the operation data, wherein the operation characteristic value represents a current corresponding operation state of the target equipment; generating alarm information when the operation characteristic value is in a preset range, wherein the preset range is determined by a first characteristic value and a second characteristic value, the first characteristic value represents a normal operation state of the target device, and the second characteristic value represents an abnormal operation state of the target device; and outputting the alarm information. Whether the target equipment is in an abnormal state or not is predicted by utilizing the operation data, and when the abnormal state of the target equipment is predicted, alarm information is triggered to prompt corresponding workers to confirm the target equipment, so that the labor cost is reduced, and the operation and maintenance of the equipment are realized.
Description
Technical Field
The present application relates to the field of operation and maintenance technologies, and in particular, to an operation and maintenance method, an apparatus, a system, an electronic device, and a storage medium.
Background
With the development of intelligent manufacturing and unmanned factories, each enterprise can not leave machine equipment, but the machine equipment also needs to be maintained regularly, so that the fault of the machine equipment is avoided, and the normal work is influenced.
However, most enterprises still adopt the traditional equipment operation and maintenance management mode, which consumes manpower and material resources, and is difficult to obtain better effect, and along with further informatization and intellectualization of the enterprises, the operation and maintenance of the machine equipment also need to become more intelligent and comprehensive so as to adapt to the development of informatization and intellectualization.
Disclosure of Invention
The embodiment of the application provides an operation and maintenance method, an operation and maintenance device, an operation and maintenance system, electronic equipment and a storage medium, so as to solve the problems.
In a first aspect, an embodiment of the present application provides an operation and maintenance method, where the method includes: acquiring operation data of target equipment acquired by a data acquisition device; calculating an operation characteristic value of the target equipment according to the operation data, wherein the operation characteristic value represents a current corresponding operation state of the target equipment; generating alarm information when the operation characteristic value is in a preset range, wherein the preset range is determined by a first characteristic value and a second characteristic value, the first characteristic value represents a normal operation state of the target device, and the second characteristic value represents an abnormal operation state of the target device; and outputting the alarm information.
In a second aspect, an embodiment of the present application provides an operation and maintenance system, where the data acquisition layer is configured to acquire operation data of a target device acquired by a data acquisition device; the transmission layer is used for transmitting the operation data to the platform layer; the platform layer is used for calculating an operation characteristic value of the target device according to the operation data, the operation characteristic value represents a current corresponding operation state of the target device, and alarm information is generated when the operation characteristic value is within a preset range, the preset range is determined by a first characteristic value and a second characteristic value, the first characteristic value represents a normal operation state of the target device, and the second characteristic value represents an abnormal operation state of the target device; the application layer is used for outputting the alarm information; the transmission layer is used for transmitting data among the data acquisition layer, the platform layer and the application layer.
In a third aspect, an embodiment of the present application provides an operation and maintenance device, where the device includes: the acquisition module is used for acquiring the operating data of the target equipment acquired by the data acquisition device; the computing module is used for computing an operation characteristic value of the target equipment according to the operation data, wherein the operation characteristic value represents the current corresponding operation state of the target equipment; the alarm module is used for generating alarm information when the operation characteristic value is in a preset range, the preset range is determined by a first characteristic value and a second characteristic value, the first characteristic value represents a normal operation state of the target device, and the second characteristic value represents an abnormal operation state of the target device; and the output module is used for outputting the alarm information.
In a fourth aspect, the present application provides an electronic device including one or more processors, a memory, and a computer program stored on the memory and executable on the processors, where the computer program, when executed by the processors, implements the method applied to the electronic device as described above.
In a fifth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the method described above.
The operation and maintenance method, the operation and maintenance device, the operation and maintenance system, the electronic equipment and the storage medium, which are provided by the embodiment of the application, are used for acquiring the operation data of the target equipment, which is acquired by the data acquisition device; and calculating the operation characteristic value of the target equipment according to the operation data, and giving an alarm according to the operation characteristic value. By analyzing the operation data, the operation state of the target equipment can be comprehensively analyzed, whether the target equipment is in an abnormal state or not is predicted, and when the abnormal state of the target equipment is predicted, alarm information is triggered to prompt corresponding workers to confirm the target equipment, so that the operation and maintenance of the equipment are realized while the labor cost is reduced.
These and other aspects of the present application will be more readily apparent from the following description of the embodiments.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart illustrating an operation and maintenance method according to an embodiment of the present application;
FIG. 2 is a flow chart illustrating an operation and maintenance method according to another embodiment of the present application;
FIG. 3 is a flow chart illustrating an operation and maintenance method according to still another embodiment of the present application;
FIG. 4 is a flow chart illustrating a part of the steps of the operation and maintenance method provided on the basis of the embodiment provided in FIG. 3;
FIG. 5 is a flow chart illustrating an operation and maintenance method according to still another embodiment of the present application;
FIG. 6 is a schematic diagram of an operation and maintenance system provided by an embodiment of the present application;
FIG. 7 is a functional block diagram of an operation and maintenance device according to an embodiment of the present application;
fig. 8 is a block diagram illustrating an electronic device for performing an operation and maintenance method according to an embodiment of the present application;
fig. 9 illustrates a storage medium provided in an embodiment of the present application and used for storing or carrying program codes for implementing an operation and maintenance method according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.
With the development of science and technology, intelligent manufacturing gradually enters the lives of people, and more unmanned factories are produced at the same time. The intelligent manufacturing and unmanned factory can not leave the participation of the machine equipment, and the informatization and the intellectualization of manufacturing enterprises can be realized depending on the machine equipment.
Because the informatization and intellectualization of enterprises depend on machine equipment, the machine equipment needs to be maintained, and when the machine equipment has abnormal conditions, the machine equipment can be confirmed or maintained in time. The traditional equipment operation and maintenance management is to arrange a field worker to watch for 24 hours, and maintain and manage the machine equipment through manual real-time monitoring.
However, in this way, the worker needs to continuously patrol the installation of the machine equipment for a long time to know the change of the machine equipment and find out the faulty machine equipment in time, which consumes a lot of manpower and material resources. Therefore, a method of operation and maintenance management using the monitoring device has appeared. And monitoring the machine equipment in real time by using the monitoring equipment, and displaying a real-time monitoring picture on a large screen of a monitoring room. With the increase of machine equipment, monitoring pictures become more and more, and it is difficult to give consideration to a plurality of monitoring pictures at the same time, and the monitoring pictures cannot display the normal running state of the equipment, and only when the machine equipment fails, an alarm can be given to prompt a worker to timely deal with the failure, and the failure of the machine equipment is difficult to predict in advance.
Therefore, the inventor proposes an operation and maintenance method of the embodiment of the application, which is used for acquiring the operation data of the target equipment acquired by the data acquisition device; and calculating the operation characteristic value of the target equipment according to the operation data, and giving an alarm according to the operation characteristic value. By analyzing the operation data, the operation state of the target equipment can be comprehensively analyzed, whether the target equipment is in an abnormal state or not is predicted, and when the abnormal state of the target equipment is predicted, alarm information is triggered to prompt corresponding staff to confirm the target equipment.
These and other aspects of the present application will be more readily apparent from the following description of the embodiments.
The embodiments of the present application will be described in detail below with reference to the accompanying drawings.
Referring to fig. 1, an operation and maintenance method provided in an embodiment of the present application may be applied to an electronic device, where the electronic device may be an operation and maintenance management platform or a local server/cloud server, and the method may include:
step S110: and acquiring the operating data of the target equipment acquired by the data acquisition device.
The target device refers to a device to be monitored, and may refer to various machine devices, such as a conveying device, a robot, and the like, and specifically, the target device may be set according to actual needs, and is not limited herein. The data acquisition device can be various sensors, such as a vibration sensor, a temperature sensor and the like. The data acquisition device can acquire data corresponding to the target equipment, and the data acquired by the data acquisition device is used as the operating data of the target equipment.
Wherein, data acquisition device can be single sensor, can be multiple different sensors, and specific detection needs that can be according to the reality set up. For example, the operation state of the motor needs to be detected, and a temperature sensor may be provided, and the operation state of the motor is determined according to the value of the temperature sensor. If the running state of the motor cannot be comprehensively reflected only by the temperature sensor, a vibration sensor can be added, and the running state of the motor can be determined according to the data of the temperature sensor and the vibration sensor.
As an embodiment, when the operation data of the target device collected by the data collection device is obtained, the operation data in a preset time period may be obtained once. For example, the data acquisition device temporarily stores the operation data when acquiring the operation data, and if the preset time period is 1 minute, the operation data within 1 minute stored by the data acquisition device is acquired each time when acquiring the operation data.
As another embodiment, when the operation data of the target device acquired by the data acquisition device is acquired, the data acquisition device may be monitored, and the operation data is acquired once when the operation data is acquired by the data acquisition device.
The execution main body of the embodiment of the application is electronic equipment, and the electronic equipment can be an operation and maintenance management platform, an intelligent terminal, a server and the like. When the electronic device obtains the operation data of the target device, which is collected by the data collection device, the electronic device may read the storage area of the data collection device to obtain the operation data, or may receive the operation data sent by the data collection device.
Step S120: and calculating an operation characteristic value of the target equipment according to the operation data, wherein the operation characteristic value represents the current corresponding operation state of the target equipment.
After the operation data of the target equipment acquired by the data acquisition device is acquired, at the moment, the electronic equipment acquires the data detected by each sensor and cannot intuitively reflect the operation state of the target equipment, so that the operation data can be processed, and the operation state of the target equipment can be more intuitively reflected.
The operation characteristic value of the target device may be calculated according to the acquired operation data, and since the operation data is acquired only by the electronic device, the operation characteristic value of the target device calculated according to the operation data reflects the current operation state of the target device.
As an embodiment, the operation characteristic value may be obtained by calculating the operation data according to a preset algorithm.
In another embodiment, a machine learning model may be trained in advance, so that the machine learning model may output an operation feature value corresponding to the operation data based on the input operation data. Therefore, the acquired operation data can be input into a machine learning model to obtain an operation characteristic value.
Step S130: and generating alarm information when the operation characteristic value is in a preset range, wherein the preset range is determined by a first characteristic value and a second characteristic value, the first characteristic value represents the normal operation state of the target equipment, and the second characteristic value represents the abnormal operation state of the target equipment.
After the operation characteristic value is obtained through calculation, alarm information can be generated according to the operation characteristic value. The preset range may be preset, and when the operation characteristic value is in the preset range, alarm information may be generated.
The preset range is determined by the first characteristic value and the second characteristic value. The first characteristic value represents a normal operation state of the target device, that is, the operation data of the target device in normal operation is acquired, and an operation characteristic value obtained by calculation according to the operation data is the first characteristic value. The second feature value represents an abnormal operation state of the target device, that is, the operation data of the target device in the abnormal operation is acquired, and an operation feature value obtained by calculation according to the operation data is the second feature value. And determining the preset range according to the first characteristic value and the second characteristic value.
In some embodiments, a range in which a target device may be considered to be faulty may be determined as the preset range according to the first characteristic value and the second characteristic value, and when the operation characteristic value is in the preset range, alarm information may be generated.
In other embodiments, a range in which a target device may be considered to be faulty may be determined as the preset range according to the first characteristic value and the second characteristic value, an alarm threshold value may be further set in the preset range, and when the operation characteristic value is in the preset range and reaches the alarm threshold value, alarm information may be generated.
The alarm information may include an alarm level, a processing suggestion, and the like, and specifically, the alarm information may be set according to an actual need, and is not specifically limited herein.
Step S140: and outputting the alarm information.
After the alarm information is generated, the probability that the target equipment has faults is high, and workers are required to confirm the situation. Therefore, the alarm information needs to be output to notify the corresponding staff.
In some embodiments, the electronic device may pre-store a contact address of a corresponding worker, where the contact address may be a channel through which a contact phone call, an instant messaging account, an email address, and the like can be notified to the worker, and one or more contact addresses may be selected according to actual needs.
When the alarm information is output, the alarm information can be directly sent to the contact address so as to be referred by corresponding staff. The alarm notice can be generated, the alarm notice carries alarm information to look up the address, and after receiving the alarm notice, a worker can look up the address according to the alarm information carried in the alarm notice to check the alarm information, so that the protection on the alarm information is enhanced, and of course, the worker can further verify the identity when checking the alarm information, so that the protection on the alarm information is further enhanced. Specifically, the selection may be performed according to actual needs, and is not limited herein.
In other embodiments, operation and maintenance software corresponding to the operation and maintenance method may be developed, and the alarm information may be directly sent to the operation and maintenance software for a worker to view.
The operation and maintenance method provided by the embodiment of the application obtains the operation data of the target equipment acquired by the data acquisition device; and calculating the operation characteristic value of the target equipment according to the operation data, and giving an alarm according to the operation characteristic value. By analyzing the operation data, the operation state of the target equipment can be comprehensively analyzed, whether the target equipment is in an abnormal state or not is predicted, and when the abnormal state of the target equipment is predicted, alarm information is triggered to prompt corresponding workers to confirm the target equipment, so that the operation and maintenance of the equipment are realized while the labor cost is reduced.
Referring to fig. 2, another embodiment of the present application provides an operation and maintenance method, which focuses on the process of calculating an operation characteristic value and determining a preset range on the basis of the previous embodiment, and the method may include:
step S210: and acquiring the operating data of the target equipment acquired by the data acquisition device.
Step S210 may refer to corresponding parts of the foregoing embodiments, and will not be described herein again.
Step S220: and inputting the operating data into a characteristic model to obtain an operating characteristic value corresponding to the operating data, wherein the characteristic model is used for obtaining the operating characteristic value corresponding to the input operating data according to the input operating data.
The method comprises the steps that a characteristic model is trained in advance, the characteristic model is a neural network model, and operation characteristic values corresponding to input operation data can be output according to the input operation data through training of the characteristic model. Specifically, a large amount of operation data of the target device in normal operation and operation data of the target device in abnormal operation may be collected, the feature model is continuously trained through supervised learning, when the operation data in normal operation is input, a feature value corresponding to the normal operation may be obtained, and when the operation data in abnormal operation is input, a feature value corresponding to the abnormal operation may be obtained. Through a large amount of training, the feature model may output an operation feature value corresponding to the input operation data according to the input operation data. The feature model may be integrated in an algorithm card to enable the calculation of the operational feature values.
Because the data acquisition device can be a plurality of sensors, the operation data acquired by different types of data acquisition devices can be input into the data acquisition device to obtain the operation characteristic value corresponding to the type. For example, the data acquisition device is a temperature sensor and a vibration sensor, and then the operation data acquired by the temperature sensor can be input into the characteristic model to obtain the operation characteristic value of the corresponding temperature; and inputting the operation data acquired by the vibration sensor into the characteristic model to obtain an operation characteristic value corresponding to the vibration. That is, the number of the operation characteristic values may be plural, and the number is determined according to the type of the setting data acquisition device, for example, the number of the data acquisition devices is two, and the corresponding operation characteristic values are also two if the data acquisition devices are the temperature acquisition device and the vibration acquisition device, respectively.
Step S230: and acquiring a first characteristic value by using the characteristic model and the running data of the target equipment in normal running, and acquiring a second characteristic value by using the characteristic model and the running data for simulating the target equipment in abnormal running.
After the feature model is trained, the operation data of the target device in normal operation can be input into the feature model to obtain a first feature value. The abnormal state of the target equipment can be simulated, the running data of the target equipment in abnormal operation is obtained, and the running data is input into the characteristic model to obtain a second characteristic value.
Step S240: and determining a preset range according to the first characteristic value and the second characteristic value.
After the first eigenvalue and the second eigenvalue are obtained, a preset range may be determined according to the first eigenvalue and the second eigenvalue.
In some embodiments, since the first characteristic value represents a normal operation state of the target device, and the second characteristic value represents an abnormal operation state of the target device, a normal range, i.e., a characteristic value range corresponding to the normal operation of the target device, may be divided according to the first characteristic value, and an abnormal range, i.e., a characteristic value range corresponding to the abnormal operation of the target characteristic value, may be divided according to the second characteristic value. And dividing a plurality of sub-ranges from the normal range and the abnormal range according to a preset interval.
It should be noted that, if a plurality of different types of data acquisition devices are provided, a plurality of different types of operation data can be acquired, and a plurality of different types of operation characteristic values can be obtained correspondingly, that is, a plurality of different types of first characteristic values and second characteristic values are obtained, so that the preset range also corresponds to the type of the characteristic value.
For example, there are a temperature sensor and a vibration sensor, and if the operation data is a temperature, there are a first characteristic value, a second characteristic value and a preset range corresponding to the temperature. When the operation data is vibration, a first characteristic value, a second characteristic value and a preset range are corresponding to the vibration.
Step S250: and generating alarm information when the operation characteristic value is in a preset range, wherein the preset range is determined by a first characteristic value and a second characteristic value, the first characteristic value represents the normal operation state of the target equipment, and the second characteristic value represents the abnormal operation state of the target equipment.
Step S260: and outputting the alarm information.
The steps S250 to S260 refer to corresponding parts of the foregoing embodiments, and are not described herein again.
The operation and maintenance method provided by the embodiment of the application obtains the operation data of the target equipment acquired by the data acquisition device; and inputting the operation data into a characteristic model to obtain an operation characteristic value of the target equipment, and alarming according to the operation characteristic value. The operation data is analyzed, the operation state of the target equipment can be comprehensively analyzed, the operation characteristic value is calculated by using the characteristic model, whether the target equipment is in an abnormal state or not is predicted according to the operation characteristic value, when the abnormal state of the target equipment is predicted, alarm information is triggered to prompt corresponding workers to confirm the target equipment, and the operation and maintenance of the equipment are realized while the labor cost is reduced.
Referring to fig. 3, a further embodiment of the present application provides an operation and maintenance method, which focuses on describing a process of generating alarm information according to the operation characteristic value on the basis of the previous embodiment, and the method may include:
step S310: and acquiring the operating data of the target equipment acquired by the data acquisition device.
Step S320: and inputting the operating data into a characteristic model to obtain an operating characteristic value corresponding to the operating data, wherein the characteristic model is used for obtaining the operating characteristic value corresponding to the input operating data according to the input operating data.
Step S330: and acquiring a first characteristic value by using the characteristic model and the running data of the target equipment in normal running, and acquiring a second characteristic value by using the characteristic model and the running data for simulating the target equipment in abnormal running.
The steps S310 to S330 can refer to the corresponding descriptions of the foregoing embodiments, and are not described herein again.
Step S340: and determining the preset range according to the first characteristic value and the second characteristic value.
After the first eigenvalue and the second eigenvalue are obtained, a preset range may be determined according to the first eigenvalue and the second eigenvalue. Specifically, referring to fig. 4, determining the preset range according to the first characteristic value and the second characteristic value may include the following steps.
Step S341: and dividing a normal range and an abnormal range into the preset range according to the first characteristic value and the second characteristic value.
If the first characteristic value indicates a normal operation state of the target device, and the second characteristic value indicates an abnormal operation state of the target device, a normal range and an abnormal range may be divided as the preset range according to the first characteristic value and the second characteristic value, and an average value of the first characteristic value and the second characteristic value may be taken as a normal range critical value and an abnormal range critical value. For example, the first characteristic value is 25, the second characteristic value is 75, and it can be known from the first characteristic value and the second characteristic value that the target device operates normally when the characteristic value is 25, and the target device operates abnormally when the characteristic value is 75. The average value of the first characteristic value 25 and the second characteristic value 85 is (25+75)/2 is 50, and the range of the characteristic values is always 1 to 100, so that the range of 0 to 50 can be determined as the normal range, and the range of 50 to 100 can be determined as the abnormal range.
Step S342: and dividing a plurality of sub-ranges from the normal range and the abnormal range according to a preset interval.
After the approximate normal range and the abnormal range are determined, the normal range and the abnormal range can be further divided to obtain a plurality of sub-ranges, so that the running state of the equipment can be more accurately predicted according to the running characteristic value.
As an embodiment, a plurality of sub-ranges may be divided from the normal range and the abnormal range at preset intervals. The normal range determined as described in the previous example is 0-50, and the abnormal range determined is 50-100. A plurality of sub-ranges may be divided from the normal range and the abnormal range, respectively, at preset intervals. The preset interval may be set according to actual needs, and is not limited herein. Assuming the predetermined interval is 25, the normal range can be divided into two sub-ranges of 0-25 and 25-50, and the abnormal range can be divided into two sub-ranges of 50-75 and 75-100.
Step S350: judging whether the operation characteristic value reaches a preset alarm threshold value or not; if yes, go to step S360, otherwise go to step S350.
After the preset range is determined, the preset range comprises a plurality of sub-ranges, an alarm level table is preset and comprises the corresponding relation between the sub-ranges and the alarm levels, when alarm information is generated when the operation characteristic value is in the preset range, whether the operation characteristic value reaches a preset alarm threshold value or not can be judged, if yes, the operation characteristic value reaches the preset alarm threshold value, and the operation state of the target equipment can be considered to be abnormal.
It is emphasized that reaching the preset alarm threshold is not greater than the preset alarm threshold, and if the smaller the characteristic value is, the better the running state of the target device is, the reaching of the preset alarm threshold is greater than the preset alarm threshold; if the larger the characteristic value is, the worse the running state of the target device is, the reaching of the preset alarm threshold value is smaller than the preset alarm threshold value.
If the operation characteristic value is judged to reach the preset alarm threshold value, the probability of abnormal conditions occurring in the operation of the current target equipment is higher, and the step S360 can be executed; if it is determined that the operation characteristic value does not reach the preset alarm threshold, it indicates that the probability of an abnormal condition occurring in the operation of the current target device is low, so that step S350 may be continuously performed to perform the same determination on other operation characteristic data. That is, the electronic device determines whether each of the operation characteristic values reaches the preset alarm threshold. As an embodiment, the preset alarm threshold may be the second characteristic value, that is, a characteristic value corresponding to the target device when the target device operates abnormally. Or a value close to the second characteristic value, so that early warning can be realized. Specifically, the preset alarm threshold may be set according to actual needs, and is not limited herein.
Step S360: and determining an alarm grade according to the sub-range of the operation characteristic value and an alarm grade table, and generating alarm information corresponding to the alarm grade.
When the operation characteristic value is determined to reach the preset alarm threshold value, the probability that an abnormal condition occurs in the operation of the current target equipment is high, and workers are required to confirm the abnormal condition. Therefore, the alarm grade can be determined according to the sub-range of the operation characteristic value and the alarm grade table, and the alarm information corresponding to the alarm grade is generated.
An alarm grade table is preset, the alarm grade table comprises a corresponding relation between a sub-range and an alarm grade, specifically, the alarm grade table is shown by referring to table 1, the assumed characteristic values a to e are sequentially increased, the larger the characteristic value is, the better the running state of the target equipment is, and the preset alarm threshold value is c.
TABLE 1
| Sub-ranges | a～b | b～c | c～d | d～e |
| Alarm rating | Is excellent in | Good effect | Is poor | Extreme difference |
In the alarm level table, the alarm levels corresponding to the ranges c to d are poor, and the alarm levels corresponding to the ranges d to e are extremely poor, so that the sub-range in which the operation data is positioned can be determined, the alarm level table can be searched according to the sub-range, and the corresponding alarm levels can be acquired.
In some embodiments, there may be multiple types of operational characteristic values, and the alarm level table may then refer to table 2.
TABLE 2
| Sub-ranges (type 1) | a～b | b～c | c～d | d～e |
| Alarm rating | Is excellent in | Good effect | Is poor | Extreme difference |
| Sub-ranges (type 2) | A～B | B～C | C～D | D～E |
| Alarm rating | Is excellent in | Good effect | Is poor | Extreme difference |
According to the content in table 2, corresponding alarm levels can be set for different types of operation characteristic values, respectively. When a plurality of types of operation characteristic values exist, the alarm needs to be given by comprehensively considering the conditions of the plurality of operation characteristic values. The alarm can be given according to a preset rule.
As an embodiment, the corresponding alarm level may be determined to generate the corresponding alarm information as long as the operation characteristic value reaches the alarm threshold. As another embodiment, when the preset number of operation characteristic values reach the alarm threshold, the alarm levels corresponding to the operation characteristic values of each type may be obtained, and alarm information may be generated according to the highest alarm level among the corresponding alarm levels. For example, if the alarm level corresponding to the operation characteristic value of type 1 is very poor, and the alarm level corresponding to the operation characteristic value of type 2 is poor, the alarm information may be generated according to the alarm level corresponding to the operation characteristic value of type 1. The specific setting can be carried out according to the actual requirement.
Step S370: and outputting the alarm information.
The output alarm information may include an alarm level and a corresponding processing suggestion, the processing suggestion may be obtained according to a preset suggestion table, the preset suggestion table may include the alarm level and the corresponding processing suggestion, and the query of the preset suggestion table may obtain the corresponding processing suggestion.
As an embodiment, a 3D diagram showing a corresponding target device may also be used, and a main fault location is marked, where the fault location may be determined according to a collection point of the data collection device, for example, the collection point of the data collection device is a motor bearing, and then the corresponding fault location is a motor bearing, so that a bearing portion may be marked in the 3D diagram of the whole motor, which is more convenient for a worker to confirm.
The operation and maintenance method provided by the embodiment of the application determines the preset range according to the first characteristic value and the second characteristic value, sets the preset alarm threshold value, further divides the preset range into sub-ranges, determines the corresponding alarm level, generates the alarm information, processes the suggestion, the 3D graph and the like according to the alarm level, enables a worker to know the fault of the target equipment more intuitively, and improves the equipment maintenance efficiency.
Referring to fig. 5, a further embodiment of the present application provides an operation and maintenance method, where a process of adjusting a preset alarm threshold according to feedback is mainly described on the basis of the previous embodiment, and the method may include:
step S410: and acquiring the operating data of the target equipment acquired by the data acquisition device.
Step S420: and inputting the operating data into a characteristic model to obtain an operating characteristic value corresponding to the operating data, wherein the characteristic model is used for obtaining the operating characteristic value corresponding to the input operating data according to the input operating data.
Step S430: and acquiring a first characteristic value by using the characteristic model and the running data of the target equipment in normal running, and acquiring a second characteristic value by using the characteristic model and the running data for simulating the target equipment in abnormal running.
Step S440: and determining the preset range according to the first characteristic value and the second characteristic value.
Step S450: and generating alarm information when the operation characteristic value is in a preset range, wherein the preset range is determined by a first characteristic value and a second characteristic value, the first characteristic value represents the normal operation state of the target equipment, and the second characteristic value represents the abnormal operation state of the target equipment.
Step S460: and outputting the alarm information.
The steps S410 to S460 refer to corresponding parts of the foregoing embodiments, and are not described herein again.
Step S470: and acquiring feedback information corresponding to the alarm information.
Step S480: and adjusting the preset alarm threshold value according to the feedback information.
After the alarm information is output, the worker confirms the site, and the electronic device can receive feedback information of the worker, wherein the feedback information can be information reflecting the accuracy of the alarm information. For example, after the staff confirms the site, the feedback information is accurate, which indicates that the preset alarm threshold is reasonably and properly set, and the abnormal state of the target equipment can be well predicted and notified. If the worker confirms on site, the feedback information is that the alarm is not accurate, the setting of the preset alarm threshold value is unreasonable, and therefore the alarm threshold value can be adjusted.
If the larger the operation characteristic value is, the better the operation state of the target device is, then the preset alarm threshold value can be reduced; if the smaller the operation characteristic value is, the better the operation state of the target device is, the preset alarm threshold value may be increased. The preset alarm threshold value can be continuously adjusted through the feedback of the working personnel, so that the alarm predicted by the electronic equipment is more accurate.
According to the operation and maintenance method provided by the embodiment of the application, the preset alarm threshold value is continuously adjusted by receiving the feedback information of the working personnel, so that the sent alarm information is more accurate, and the accuracy of equipment maintenance is improved.
Referring to fig. 6, an operation and maintenance system 500 according to an embodiment of the present application is shown, where the operation and maintenance system 500 includes a data acquisition layer 510, a transmission layer 520, a platform layer 530, and an application layer 540.
The data acquisition layer 510 is used for acquiring the operation data of the target device acquired by the data acquisition device; the transmission layer 520 is used for transmitting the running data to the platform layer; the platform layer 530 is configured to calculate an operation characteristic value of the target device according to the operation data, where the operation characteristic value represents a current corresponding operation state of the target device, and generate alarm information when the operation characteristic value is within a preset range, where the preset range is determined by a first characteristic value and a second characteristic value, the first characteristic value represents a normal operation state of the target device, and the second characteristic value represents an abnormal operation state of the target device; the application layer 530 is configured to output the alarm information; the transport layer 520 is used for transporting data between the data acquisition layer, the platform layer and the application layer.
The data acquisition layer 510, the transmission layer 520, the platform layer 530, and the application layer 540 may implement each process of the operation and maintenance method in the foregoing method embodiments, and for avoiding repetition, details are not described here.
Referring to fig. 7, an operation and maintenance device 600 provided in an embodiment of the present application is shown and may be applied to an electronic device, where the operation and maintenance device 600 includes an obtaining module 610, a calculating module 620, an alarming module 630, and an output module 640. The acquiring module 610 is configured to acquire the operation data of the target device acquired by the data acquiring apparatus; the calculating module 620 is configured to calculate an operation characteristic value of the target device according to the operation data, where the operation characteristic value represents a current corresponding operation state of the target device; the alarm module 630 is configured to generate alarm information when the operation characteristic value is within a preset range, where the preset range is determined by a first characteristic value and a second characteristic value, the first characteristic value represents a normal operation state of the target device, and the second characteristic value represents an abnormal operation state of the target device; and the output module 640 is used for outputting the alarm information.
Further, the calculation module 620 is further configured to input the operation data into a feature model to obtain an operation feature value corresponding to the operation data, where the feature model is configured to obtain an operation feature value corresponding to the input operation data according to the input operation data.
Further, the calculation module 620 is further configured to obtain a first characteristic value by using the characteristic model and the operation data of the target device during normal operation, and obtain a second characteristic value by using the characteristic model and the operation data of the target device during abnormal operation; and determining the preset range according to the first characteristic value and the second characteristic value.
Further, the preset range includes a plurality of sub-ranges, an alarm level table is preset, which includes a corresponding relationship between the sub-ranges and the alarm levels, and the alarm module 630 determines whether the operation characteristic value reaches a preset alarm threshold value; if yes, determining an alarm grade according to the sub-range of the operation characteristic value and an alarm grade table, and generating alarm information corresponding to the alarm grade.
Further, the calculating module 620 is further configured to divide a normal range and an abnormal range into the preset range according to the first characteristic value and the second characteristic value; and dividing a plurality of sub-ranges from the normal range and the abnormal range according to a preset interval.
Further, after the alarm information is output, the operation and maintenance device 600 is further configured to obtain feedback information corresponding to the alarm information; and adjusting the preset alarm threshold value according to the feedback information.
The operation and maintenance device 600 provided in this embodiment of the application can implement each process of implementing the operation and maintenance method by the server in the method embodiments of fig. 2 to fig. 7, and is not described here again to avoid repetition.
It should be noted that, as will be clear to those skilled in the art, for convenience and brevity of description, the specific working processes of the above-described apparatuses and modules may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
To sum up, the operation and maintenance method provided in the embodiment of the present application obtains the operation data of the target device collected by the data collection device; and calculating the operation characteristic value of the target equipment according to the operation data, and giving an alarm according to the operation characteristic value. By analyzing the operation data, the operation state of the target equipment can be comprehensively analyzed, whether the target equipment is in an abnormal state or not is predicted, and when the abnormal state of the target equipment is predicted, alarm information is triggered to prompt corresponding workers to confirm the target equipment, so that the operation and maintenance of the equipment are realized while the labor cost is reduced.
In the several embodiments provided in the present application, the coupling or direct coupling or communication connection between the modules shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or modules may be in an electrical, mechanical or other form.
In addition, functional modules in the embodiments of the present application may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
Referring to fig. 8, a block diagram of an electronic device according to an embodiment of the present disclosure is shown. The electronic device 700 may be an electronic device capable of running an application, such as a smart phone, a tablet computer, an electronic book, or a server. The electronic device 600 in the present application may include one or more of the following components: a processor 710, a memory 720, and one or more applications, wherein the one or more applications may be stored in the memory 720 and configured to be executed by the one or more processors 710, the one or more programs configured to perform a method as described in the aforementioned method embodiments.
Processor 710 may include one or more processing cores. The processor 710 interfaces with various components throughout the electronic device 700 using various interfaces and circuitry to perform various functions of the electronic device 700 and process data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 720 and invoking data stored in the memory 720. Alternatively, the processor 710 may be implemented in hardware using at least one of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 710 may integrate one or more of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a modem, and the like. Wherein, the CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing display content; the modem is used to handle wireless communications. It is understood that the modem may not be integrated into the processor 710, but may be implemented by a communication chip.
The Memory 720 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). The memory 720 may be used to store instructions, programs, code sets, or instruction sets. The memory 720 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing various method embodiments described below, and the like. The data storage area may also store data created by the electronic device 700 during use (e.g., phone books, audio-visual data, chat log data), and the like.
Referring to fig. 9, a block diagram of a computer-readable storage medium according to an embodiment of the present application is shown. The computer-readable storage medium 800 has stored therein program code that can be called by a processor to execute the methods described in the above-described method embodiments.
The computer-readable storage medium 800 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM, a hard disk, or a ROM. Alternatively, the computer-readable storage medium 800 includes a non-transitory computer-readable storage medium. The computer readable storage medium 800 has storage space for program code 810 to perform any of the method steps of the method described above. The program code can be read from or written to one or more computer program products. The program code 810 may be compressed, for example, in a suitable form.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not necessarily depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. An operation and maintenance method, characterized in that the method comprises:
acquiring operation data of target equipment acquired by a data acquisition device;
calculating an operation characteristic value of the target equipment according to the operation data, wherein the operation characteristic value represents a current corresponding operation state of the target equipment;
generating alarm information when the operation characteristic value is in a preset range, wherein the preset range is determined by a first characteristic value and a second characteristic value, the first characteristic value represents a normal operation state of the target device, and the second characteristic value represents an abnormal operation state of the target device;
and outputting the alarm information.
2. The method of claim 1, wherein said calculating an operational characteristic value of the target device from the operational data comprises:
and inputting the operating data into a characteristic model to obtain an operating characteristic value corresponding to the operating data, wherein the characteristic model is used for obtaining the operating characteristic value corresponding to the input operating data according to the input operating data.
3. The method according to claim 2, wherein before generating alarm information when the operation characteristic value is in a preset range, the method further comprises:
acquiring a first characteristic value by using the characteristic model and the running data of the target equipment in normal running, and acquiring a second characteristic value by using the characteristic model and the running data for simulating the target equipment in abnormal running;
and determining the preset range according to the first characteristic value and the second characteristic value.
4. The method according to claim 3, wherein the preset range includes a plurality of sub-ranges, an alarm level table is preset, the alarm level table includes a corresponding relationship between the sub-ranges and alarm levels, and the generating alarm information when the operation characteristic value is in the preset range includes:
judging whether the operation characteristic value reaches a preset alarm threshold value or not;
if yes, determining an alarm grade according to the sub-range of the operation characteristic value and an alarm grade table, and generating alarm information corresponding to the alarm grade.
5. The method of claim 4, further comprising:
dividing a normal range and an abnormal range into the preset range according to the first characteristic value and the second characteristic value;
and dividing a plurality of sub-ranges from the normal range and the abnormal range according to a preset interval.
6. The method according to claim 4, wherein after the outputting the alarm information, further comprising:
acquiring feedback information corresponding to the alarm information;
and adjusting the preset alarm threshold value according to the feedback information.
7. An operation and maintenance system is characterized by comprising a data acquisition layer, a transmission layer, a platform layer and an application layer;
the data acquisition layer is used for acquiring the operating data of the target equipment acquired by the data acquisition device;
the transmission layer is used for transmitting the operation data to the platform layer;
the platform layer is used for calculating an operation characteristic value of the target device according to the operation data, the operation characteristic value represents a current corresponding operation state of the target device, and alarm information is generated when the operation characteristic value is within a preset range, the preset range is determined by a first characteristic value and a second characteristic value, the first characteristic value represents a normal operation state of the target device, and the second characteristic value represents an abnormal operation state of the target device;
the application layer is used for outputting the alarm information;
the transmission layer is used for transmitting data among the data acquisition layer, the platform layer and the application layer.
8. An operation and maintenance device, comprising:
the acquisition module is used for acquiring the operating data of the target equipment acquired by the data acquisition device;
the computing module is used for computing an operation characteristic value of the target equipment according to the operation data, wherein the operation characteristic value represents the current corresponding operation state of the target equipment;
the alarm module is used for generating alarm information when the operation characteristic value is in a preset range, the preset range is determined by a first characteristic value and a second characteristic value, the first characteristic value represents a normal operation state of the target device, and the second characteristic value represents an abnormal operation state of the target device;
and the output module is used for outputting the alarm information.
9. An electronic device, characterized in that the electronic device comprises:
one or more processors;
memory device
One or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to perform the method of any of claims 1-6.
10. A computer-readable storage medium, having stored thereon program code that can be invoked by a processor to perform the method according to any one of claims 1 to 6.
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